{"id":"W4281647038","doi":"10.3389/frai.2022.660581","title":"Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models","year":2022,"lang":"en","type":"article","venue":"Frontiers in Artificial Intelligence","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Horizon 2020; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; UCLH Biomedical Research Centre; Engineering and Physical Sciences Research Council; UK Research and Innovation; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Donepezil; Clinical trial; Disease; Medicine; Cognitive impairment; Cohort; Cognition; Oncology; Internal medicine; Dementia; Intensive care medicine; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006384724,0.0002197221,0.0006535865,0.000341302,0.0004144013,0.00007436825,0.000544239,0.0000548541,0.0002678588],"category_scores_gemma":[0.002524104,0.0002063583,0.0002881978,0.0004896283,0.0002318051,0.0003331469,0.0006382171,0.0004705729,0.000004660994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009757361,"about_ca_system_score_gemma":0.0005967426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001981506,"about_ca_topic_score_gemma":0.000002653134,"domain_scores_codex":[0.9951664,0.001195076,0.001334183,0.0008726805,0.0008412516,0.0005903892],"domain_scores_gemma":[0.9978032,0.0003900004,0.0002889172,0.0006934291,0.0001748721,0.0006495683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0211974,0.002235101,0.144416,0.00009571918,0.0004107849,0.0003599183,0.0001641801,0.0199353,0.0001611122,0.000674314,0.006374013,0.8039761],"study_design_scores_gemma":[0.0004434443,0.0003469072,0.002942685,0.0001363457,0.000624237,0.00000155487,0.0009242312,0.9801627,0.0003429863,0.01230904,0.001530042,0.0002357566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04799626,0.003523924,0.9412014,0.001084045,0.001432411,0.003948513,0.0006906803,0.00007220446,0.00005053998],"genre_scores_gemma":[0.9336335,0.000116494,0.06375974,0.0003418982,0.0004430093,0.0004963815,0.001095362,0.00004788836,0.00006574666],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9602275,"threshold_uncertainty_score":0.8415048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4833566428963154,"score_gpt":0.5250898322605377,"score_spread":0.04173318936422238,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}